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Salesforce AI Research Propose Programmatic VLM Evaluation (PROVE): A New Benchmarking Paradigm for Evaluating VLM Responses to Open-Ended Queries

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Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

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Don’t Forget to join our 50k+ ML SubReddit. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise appeared first on MarkTechPost.

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SGLang: An Open-Source Inference Engine Transforming LLM Deployment through CPU Scheduling, Cache-Aware Load Balancing, and Rapid Structured Output Generation

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SGLang is an open-source inference engine designed by the SGLang team to address these challenges. It optimizes CPU and GPU resources during inference, achieving significantly higher throughput than many competitive solutions. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.

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Salesforce AI Research Introduces BLIP-3-Video: A Multimodal Language Model for Videos Designed to Efficiently Capture Temporal Information Over Multiple Frames

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In response, researchers from Salesforce AI Research introduced BLIP-3-Video, an advanced VLM specifically designed to address the inefficiencies in video processing. Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes

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Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Allen Institute for AI Released olmOCR: A High-Performance Open Source Toolkit Designed to Convert PDFs and Document Images into Clean and Structured Plain Text

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percentage points on AI benchmark datasets like ARC Challenge and DROP. Compatible with inference engines like vLLM and SGLang, allowing flexible deployment on various hardware setups. All credit for this research goes to the researchers of this project. Improves language model training by increasing accuracy by 1.3

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Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

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Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.